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WishArdently
/
InternVideo2Stage2-VisionEncoder

Feature Extraction
Transformers
Safetensors
internvideo2
custom_code
Model card Files Files and versions
xet
Community

Instructions to use WishArdently/InternVideo2Stage2-VisionEncoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use WishArdently/InternVideo2Stage2-VisionEncoder with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="WishArdently/InternVideo2Stage2-VisionEncoder", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("WishArdently/InternVideo2Stage2-VisionEncoder", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
InternVideo2Stage2-VisionEncoder
2.1 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
WishArdently's picture
WishArdently
Upload InternVideo2Stage2VideoEncoder
edf2ce7 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    5.17 kB
    Upload InternVideo2Stage2VideoEncoder over 1 year ago
  • config.json
    3.9 kB
    Upload InternVideo2Stage2VideoEncoder over 1 year ago
  • config.py
    8.55 kB
    Upload InternVideo2Stage2VideoEncoder over 1 year ago
  • flash_attention_class.py
    3.26 kB
    Upload InternVideo2Stage2VideoEncoder over 1 year ago
  • internvideo2.py
    32.3 kB
    Upload InternVideo2Stage2VideoEncoder over 1 year ago
  • internvideo2_stage2.py
    3.8 kB
    Upload InternVideo2Stage2VideoEncoder over 1 year ago
  • model.py
    2.28 kB
    Upload InternVideo2Stage2VideoEncoder over 1 year ago
  • model.safetensors
    2.1 GB
    xet
    Upload InternVideo2Stage2VideoEncoder over 1 year ago
  • pos_embed.py
    14.6 kB
    Upload InternVideo2Stage2VideoEncoder over 1 year ago